A5039860321- Oceanographic and Atmospheric Processes
- Climate variability and models
- Meteorological Phenomena and Simulations
- Reservoir Engineering and Simulation Methods
- Marine and coastal ecosystems
- Arctic and Antarctic ice dynamics
- Atmospheric and Environmental Gas Dynamics
- Geophysics and Gravity Measurements
- Ocean Waves and Remote Sensing
- Carbon Dioxide Capture Technologies
- Marine and environmental studies
- Marine Biology and Ecology Research
- Methane Hydrates and Related Phenomena
- Fault Detection and Control Systems
- Cryospheric studies and observations
- Ocean Acidification Effects and Responses
- Target Tracking and Data Fusion in Sensor Networks
- Inertial Sensor and Navigation
- Geochemistry and Geologic Mapping
- Underwater Acoustics Research
Mercator Ocean (France)
2018-2025
Observatoire des sciences de l'Univers Paris-Saclay
2016
Université Grenoble Alpes
2016
Centre National de la Recherche Scientifique
2016
Université Côte d'Azur
2014-2015
Laboratoire Jean-Alexandre Dieudonné
2014
Laboratoire de Glaciologie et Géophysique de l’Environnement
2013
Universidade Federal do Rio Grande
2013
Universidade Federal do Rio Grande do Sul
2013
GLORYS12 is a global eddy-resolving physical ocean and sea ice reanalysis at 1/12° horizontal resolution covering the 1993-present altimetry period, designed implemented in framework of Copernicus Marine Environment Monitoring Service (CMEMS). The model component NEMO platform driven surface by atmospheric conditions from ECMWF ERA-Interim reanalysis. Ocean observations are assimilated means reduced-order Kalman filter. Along track altimeter level anomaly, satellite temperature...
The future Surface Water Ocean Topography (SWOT) mission due to be launched in 2022 will extend the capability of existing nadir altimeters enable two-dimensional mapping at a much higher effective resolution. A significant challenge assimilate this kind data high-resolution models. In context, Observing System Simulation Experiments (OSSEs) have been performed assess impact SWOT on Mercator and Copernicus Marine Environment Monitoring Service (CMEMS) global, analysis forecasting system....
A first attempt was made to quantify the impact of assimilation Surface Water Ocean Topography (SWOT) swath altimeter data in a global 1/12° high resolution analysis and forecasting system through series Observing System Simulation Experiments (OSSEs). The OSSE framework (Nature Run Free Run) scheme have been described detail companion article ( Benkiran et al., 2021 ). assimilating from SWOT three nadir altimeters quantified by estimating forecast error variances for sea surface height...
Abstract Most data assimilation algorithms require the inverse of covariance matrix observation errors. In practical applications, cost computing this with spatially correlated errors is prohibitive. Common practices are therefore to subsample or combine observations so that assimilated can be considered uncorrelated. As a consequence, large fraction available observational information not used in applications. study, method developed account for correlations will present wide-swath sea...
Abstract This study investigates the ability of a global ocean reanalysis at 1/12° horizontal resolution, GLORYS12, to represent oceanic processes intraseasonal and higher-frequency scales. which includes data assimilation satellite multi-instrument in situ observations, is compared twin-free simulation (with no assimilation) Tropical Pacific Ocean. Spectral analyses show that improves realism sea surface height variability entire Ocean, both amplitude phase, with an increase more than 50%...
Numerical models of ocean biogeochemistry serve as critical tools for detecting and predicting the impacts climate change on marine resources, monitoring health. Recent research by Rodgers et al. (2023) has identified significant limitations in current CMIP6 class models, particularly their representation seasonal partial pressure CO2 (pCO2) temporal phasing magnitude key regions such North Atlantic. These arise primarily from parameter uncertainty, model parameters are typically derived...
Accurate ocean forecasting is essential for a range of critical applications, from maritime safety to climate adaptation strategies. Given the inherent uncertainties in dynamics, ability predict probable states key informed decision-making. Here, we present MerCast, probabilistic model designed redefine global-scale prediction by quantifying uncertainty state estimates. Trained on decades high-resolution reanalysis products, MerCast integrates diffusion models generate ensembles daily...
The SeSaM (Seasonal Sargassum Monitoring and Forecasting) project addresses the critical challenge of managing mass sargassum invasions in Tropical Atlantic Ocean, providing key insights forecasting tools for stakeholders. Mercator Ocean International has operationalized NEMO-based model distribution, initially developed by French National Research Institute Sustainable Development (IRD). Integrated into NEMO4.2 framework, enables 7-month ensemble forecasts physical ocean (SST, currents)...
Ocean monitoring and forecasting systems combine information from ocean observations numerical models through advanced data assimilation techniques. They are essential to monitor report on past, present future oceanic conditions. However, given the continuous development of techniques in addition increased diversity assimilated platforms, it becomes more difficult establish how is used, determine utility relevance a change global observing system analyses. Here, series simulation experiments...
. Along-track sea surface height anomaly (SSHA) data from the Jason-1 and Jason-2 satellites were assimilated into ocean model HYCOM July 1, 2009 until December 31, 2009. A new simple approach to overcome bias between observed SSHA was proposed. It focuses on meso-scale differences along each satellite track. An optimal interpolation method Cooper & Haines (1996) scheme (C&H) employed produce a analysis field adjust layer thicknesses over Atlantic METAREA V. The corrected state used as...
Abstract. The diffusive back-and-forth nudging (DBFN) is an easy-to-implement iterative data assimilation method based on the well-known method. It consists of a sequence forward and backward model integrations, within given time window, both them using feedback term to observations. Therefore, in DBFN, asymptotic behaviour translated into infinite number iterations bounded domain. In this method, integration carried out thanks what called model, which basically with reversed step sign. To...
Abstract. Ocean data assimilation systems encompass a wide range of scales that are difficult to control simultaneously using partial observation networks. All not observable by all systems, which is easily taken into account in current ocean operational systems. The main reason for this difficulty the error covariance matrices usually assumed be local (e.g. localisation algorithm ensemble systems), so large-scale patterns removed from statistics. To better exploit observational information...
Along-track sea surface height anomaly (SSHA) data from the Jason-1 and Jason-2 satellites were assimilated into ocean model HYCOM July 1, 2009 until December 31, 2009. A new simple approach to overcome bias between observed SSHA was proposed. It focuses on meso-scale differences along each satellite track. An optimal interpolation method Cooper Haines (1996) scheme (C&H) employed produce a analysis field adjust layer thicknesses over Atlantic METAREA V. The corrected state used as...
Abstract. Sea ice and snow volume are essential variables for polar predictions, but operational systems still struggle to accurately capture their evolution. Satellite measurements now provide estimates of sea freeboard depth. The combined assimilation concentration (SIC), along-track altimetry radar data from Cryosat-2 observations depth SARAL is implemented in a multivariate approach global ¼° ocean/sea coupled NEMO4.2/SI3 model. A experiment, performed on two full seasonal cycles...
Abstract. Ocean data assimilation systems encompass a wide range of scales that are difficult to control simultaneously using partial observation networks. All not observable by all which is easily taken into account in current ocean operational systems. The main reason for this difficulty the error covariance matrices usually assumed be local (e.g. localization algorithm ensemble systems), so large scale patterns removed from statistics. To better exploit observational information available...
Abstract. The Diffusive Back and Forth Nudging (DBFN) is an easy-to-implement iterative data assimilation method based on the well-known method. It consists in a sequence of forward backward model integrations, within given time window, both them using feedback term to observations. Therefore DBFN, asymptotic behavior translated into infinite number iterations bounded domain. In this method, integration carried out thanks what called model, which basically with reversed step sign. To...
<p>Since October 2016, and in the framework of Copernicus Marine Service, Mercator Ocean International delivered real-time daily services (weekly analyses 10-day forecasts) with a global 1/12° high resolution (eddy-resolving) system. In this system, oceanic observations were assimilated model using reduced-order Kalman filter method. Along track altimeter Sea Level Anomaly (SLA), satellite sea surface temperature (SST) ice concentration, situ salinity vertical...